Bomb Calorimeter Research Articles

Highly efficient coke dust suppressant with anti-freezing capabilities

Stockpiled coke is prone to wind-blowing emissions, leading to economic losses and environmental pollution which imposes severe threats to human health. While various polysaccharide-based dust suppressants have been explored to resolve this issue, they often suffer from ineffective control of wettability, poor coverage, and suppression effect in extreme weather conditions, and require additional use of cross-linking agents and surfactants due to their weak interaction with coke. Herein, we present coke dust suppressants comprising polyethyleneimine (PEI), starch, and glycerol to address these shortcomings. Our detailed investigations show that the low toxicity, cationic polymer (PEI) electrostatically interacts with the coke, increasing the wettability and promoting aggregation. Moreover, PEI hydrogen-bonds with starch to form a stable film and enhances the water-retention capability. Furthermore, the addition of glycerol lowers the freezing point to −13 °C, preventing coke loss caused by freezing during transportation and energy loss associated with dismantling the frozen coke. Wind erosion tests and bomb calorimeter results reveal that the coke dust suppressant exhibits superior wind resistance and does not interfere with the coke combustion.

Development of food for special dietary uses of diabetes based on oyster mushroom and brown rice

Diabetes patients often struggle to meet their energy requirements, prompting the suggestion of utilizing Food for Special Dietary Uses (FSDU). Previous research has shown the efficacy of oyster mushrooms’ B-glucan in controlling hyperglycemia and insulin resistance. Brown rice, high in magnesium and fiber with a low glycemic index, is known to lower blood glucose levels. Utilizing both ingredients in FSDU may provide products with recommended energy value, nutrient ingredients, and glycemic index. This study aimed to measure the energy, protein, fat, carbohydrate, fiber, glucose, and glycemic index of four mixed formulations of oyster mushrooms and brown rice, along with a control.The study used a true experimental design with a completely randomized research design. The formulations included: P1=9% mixture of moringa and fish flour, P2=10% mixture of carrot and fish flour, F3=11% mixture of moringa and tempeh flour, and F4=12% tempeh flour. The total energy was measured using various methods: adiabatic oxygen bomb calorimeter for energy, Kjeldahl for protein, Soxhlet for fat, by-difference for carbohydrates, AOAC enzymatic-gravimetric for total dietary fiber, anthrone for total sugar, and blood glucose tests at 0, 15, 30, 45, 60, 90, and 120 minutes post-test-food ingestion for glycemic index measurements. Statistical analysis was performed using the One-Way ANOVA and Kruskal-Wallis tests.The research results indicate significant differences in energy, protein, fat, carbohydrates, total sugar, and fiber values among groups (p<0.01). The lowest glycemic index was found in P4 (44.32, medium category). Further analysis indicated that P4 had higher total energy and fat, but lower carbohydrates, total sugar, and glycemic index. According to the Multiple Attribute Zeleny Method, the P4 formula was the best formula for all parameters.The most effective formula, containing brown rice, oyster mushrooms, and tempeh flour (P4), could be a beneficial option for improving the health of individuals with diabetes in the community.

Analysis of Calorific Value of Biopellet Diameter Variations through Proximate Test

This study aims to evaluate the quality of biopellets as biomass energy fuel, focusing on physical and chemical characteristics based on the SNI 8021:2014 standard. The research method used is experimental with a non-factorial Completely Randomized Design (CRD). The raw materials used are a mixture of rambutan wood waste (Nephelium lappaceum L) and bintaro (Cerbera manghas) with tapioca flour as an organic binder. Testing includes proximate analysis (moisture, ash, volatile matter, and fixed carbon) and calorific value using an oxygen bomb calorimeter. The results show that the produced biopellets meet several parameters of the SNI 8021:2014 standard, such as moisture content, volatile matter, and fixed carbon. However, there is significant variation in ash test results among different diameters of biopellets tested. ANOVA test results indicate that mold diameter has a notation that has a significantly affect several biopellet characteristics, such as density and calorific value. This study also observed the potential for increased combustion efficiency of the produced biopellets. The results indicate that the raw material mixture used can reduce pollutant emissions during combustion. The conclusion of this study is that the use of a mixture of rambutan wood waste and bintaro with tapioca flour as an organic binder can produce biopellets with quality that meets standards for biomass energy applications.

Experimental Assessment of Energy Potentials from Tea Wastes as a Source of Energy: A Case of Itona Tea Factory in Tanzania

Tea processing is an energy-intensive process. However, high agricultural productivity and subsequently the growth of the green revolution have been made possible only by a large amount of energy inputs, especially those from fossil fuels, wood fuels, and electricity. With recent price rise and scarcity of these fuels there has been a trend towards use of alternative energy sources such as waste (agricultural waste) to energy that could solve both energy and environment issues. Moreover, these energy resources have not been able to provide an economically viable solution for agricultural applications so long as they seem to contain amount of energy which can be source of energy to be used in various factories in rural areas through gasification process. A gasifier is normally fuel specific system and it is tailored around a fuel rather than the other way round. Hence, this paper presents an experimental assessment of energy potentials from tea wastes available at Itonaa Tea Factory for tea drying processes as important data for agricultural wastes. The experimental measurement of energy potential from tea wastes was done using bomb calorimeter, muffle furnace and energy balances to determine calorific value moisture content and energy potentials of tea waste respectively. The findings indicate that the combined energy potential of factory and garden tea waste was found to be 2.78x10<sup>8</sup>kWh, and corresponding electrical energy was estimated to be 2.78x10<sup>7</sup>kWh which is enough for tea drying process in tea manufacturing plant. The total energy used in the production of tea was discovered to be equal 3.5 - 7.5 kWh/kg of made tea. Thus, total energy consumption (4.5 kWh/kg of made tea) for processing of 9.6 x 10<sup>6</sup> kg of tea from 4.5 x 10<sup>3</sup> hectares of tea plantation in Mufindi for the period of 2021-2022 was 4.32x10<sup>7</sup> kWh. Thus, with the proper utilization of energy conversion technology of tea waste, part of the energy requirement in processing of tea could be met reducing environmental challenges associated with both wood fuel burning and tea waste disposal.

Polybenzoxazine/Epoxy Copolymer Reinforced with Phosphorylated Microcrystalline Cellulose: Curing Behavior, Thermal, and Flame Retardancy Properties

This study aims to explore new flame-retardant composites based on a phosphorus-functionalized cellulose derivative and epoxy/benzoxazine thermosetting resins in order to broaden the use of natural fibers in advanced applications. The study involved the phosphorylation of microcrystalline cellulose followed by its characterization through employing various analytical methods to corroborate the accomplishment of its functionalization. The curing behavior of composites based on the polybenzoxazine/epoxy copolymer reinforced with (1 and 5 wt.%) modified microcrystalline cellulose was hereafter considered. The thermal behavior of these composites was correspondingly investigated using thermogravimetric analysis, where improved thermal stability and the limiting oxygen index were stressed. Flame retardancy tests using the vertical burning test UL 94 and heat of combustion analysis utilizing an oxygen bomb calorimeter were also carried out to deeply examine the possible flame retardancy ability of the considered composites.

Preparation and certification of benzoic acid reference material for calorimetry analysis

Benzoic acid reference material is indispensable for bomb calorimeter instrument calibration and validation of gross calorific value (GCV) analysis of any substance. In this work, we demonstrated the preparation of benzoic acid reference material through a homogeneity study, round-robin analysis, and stability study. Two-factor analysis of variance (ANOVA) test for gross calorific value in the randomly selected sub-samples of benzoic acid exhibits a lower FTS value than the Fcrit value, indicating that the samples are sufficiently homogeneous. The calculated uncertainty of between-bottle (ubb) and uncertainty of homogeneity (uhom) for GCV of benzoic acid in the sub-samples were found as 1.82 and 4.42 ​cal/g respectively. We found that the observed homogeneity (uhom (Finding)) value is lower than the assumed homogeneity (uhom (Assume)) value for the prepared benzoic acid reference material. Overall observations confirm that the sub-samples are sufficiently homogeneous. Moreover, the round-robin analysis/or inter-laboratory comparison analysis was conducted to assign the gross calorific value and determine the characterization uncertainty. The seventh order of Grubbs' analysis was done using robust estimator Alogoritm A to assign the GCV of benzoic acid. Finally, the measurement uncertainty of the assigned GCV of benzoic acid was calculated with the combined uncertainties from various sources.

Comparative studies of machine learning models for predicting higher heating values of biomass

This study addresses the challenge of efficiently determining the higher heating value (HHV) of biomass, a crucial parameter in large-scale biomass-based energy systems. The conventional method of measuring HHV using an oxygen bomb calorimeter is time-consuming, expensive, and less accessible to researchers, particularly in developing nations. To overcome these limitations, we employed four machine learning (ML) models, namely Random Forest (RF), Decision Tree (DT), Support Vector Machine (SVM), and Extreme Gradient Boosting (XGBoost). These models were developed by using proximate and ultimate analysis parameters as input features. Up to 200 datasets were compiled from literature and used for the ML models. Our results demonstrate the effectiveness of all ML models in accurately predicting the HHV of biomass materials. Notably, the XGBoost model exhibited superior performance with the highest R-squared (R2) values for both training (0.9683) and test datasets (0.7309), along with the lowest root mean squared error (RSME) of 0.3558. Key influential input features identified for HHV prediction include carbon (C), volatile matter (Vm), ash, and hydrogen (H). Consequently, this research provides a reliable alternative for predicting HHV without the need for costly and time-intensive experimental measurements, facilitating broader accessibility in biomass energy research.

Evaluation of the Combustion Properties and Catalytic Activity of MgAlB Energetic Ternary Particles

ABSTRACT Boron powder possesses significant potential for use as a combustible agent in energetic materials, owing to its superior combustion thermodynamic properties. However, the powder’s tendency to form an oxide layer on its surface results in delayed ignition, reduced combustion efficiency, and compromised energy advantage. To enhance the ignition and combustion properties of boron powder, we prepared boron-based energetic composites containing flammable metals (MgxAl1-xB2) through high-temperature sintering. These were then characterized using scanning electron microscopy (SEM), X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), energy dispersive spectroscopy (EDS). The combustion heat of these alloy powders were measured using an oxygen bomb calorimeter, while their catalytic performance on the thermal decomposition of ammonium perchlorate (AP) was analyzed using differential scanning calorimetry (DSC) and differential thermal analysis (DTA). The results indicate that compared with boron, the MgxAl1-xB2 powders are more flammable, require less oxygen, exhibit a higher combustion efficiency and exothermic advantage. Especially, the Mg0.9Al0.1B2 and MgB2 alloy exhibit optimal combustion heat values of 39,094.92 and 37,693.90 J·g−1, respectively. They significantly enhance the thermal decomposition of AP and reduce the activation energy by over 20%.

On-farm energy input-output and economic analysis of important essential oil-bearing Mint species in subtropical India

Mint species are grown worldwide and known for their medicinal and aromatic properties however, studies on its energy assessment are very scarce. This study quantifies the energy input–output relationship of herbs and essential oil production of different mint species (M. arvensis, M. piperita, M. spicata, M. cardiaca and M. citrata) which were commercially grown in subtropical India. This study proposes for life cycle assessment and their effects on environment. The energy inputs and outputs were significantly varied with mints species. Results showed that mints essential oil production used more energy than herbs, and M. citrata utilizes the highest energy in both cases. Fire wood requirements for essential oil extraction accounts maximum (59.16 %) energy input. Mint herbs and essential oil yields were recorded higher in M. citrata (23.14 t ha−1), and M. arvensis (143.2 kg ha−1), respectively. Energy yields were estimated highest in M. cardiaca (herbs), and M. arvensis (essential oils), and required net calorific values were tested by automated advanced oxygen bomb calorimeter. Overall, M. arvensis showed the best results in energy production (0.07 kg MJ−1), profitability (0.27), net return (17156.40 MJ ha−1), and energy use efficacy (1.27) for mint herbs production. However, for essential oil production M. cardiaca performed well. This study revealed that mint herbs production was more energy efficient than essential oils extraction although essential oil production is fiscally secure.

Co-hydrothermal carbonization as a potential method of utilising digested sludge and screenings from wastewater treatment plants towards energy application

Anaerobic digestion is one of the most recommended methods for utilising sewage sludge produced by wastewater treatment plants. However, the increasing amount of micropollutants in digested sludge can significantly limit its future utilisation. Recent studies suggests that the hydrothermal carbonization process can be used as a complementary method for sludge management, due to the improved quality of solid products - hydrochar. Moreover, this allows for the possibility of reusing liquid by-products in the anaerobic digestion process for biogas production. However, hydrochar generated from hydrothermal carbonization has a higher concentration of heavy metals and low energy value, which limits its use in agriculture and energy sectors. This study highlights a partial resolution to this problem, by mixing digested sludge with screenings in the co-hydrothermal carbonization process. The findings of this study show improvements in the properties of hydrochar including total solids measured according to ISO, inorganic fractions determined by inductively coupled plasma optical emission spectrometry and higher calorific values measured by the calorimetric bomb. Biomethane potential tests were conducted on liquid by-products. The results showed an average increase in biomethane potential from liquids obtained from co-hydrothermal carbonization compared to liquids from hydrothermal carbonization of digested sludge without screenings in series 1, 2 and 3 - up to 60 %, 40 % and 26 % for three different sludges with initial total solids content of 2.6 %, 12.5 % and 21.5 % w/w.

STUDI PEMANFAATAN LIMBAH BAMBU DAN TEMPURUNG KELAPA DALAM PEMBUATAN BIOBRIKET MENJADI SUMBER ENERGI ALTERNATIF

The use of fossil fuels has resulted in the emission of greenhouse gases which can trigger global warming. In addition, fossil energy reserves that continue to decrease also raise concerns regarding aspects of their reselience and sustainability. Therefore, new and renewble energy must be developed immediately. The use of biomass as an alternative fuel for Steam Power Plant (PLTU) is in line with Indonesia’s efforts towards net zero emission in the future. In addition to increasing the contribution of renewable energy to the national energy mix, cofiring will also have a positive impact on the development of the circular economy as it can open up employment and business opportunities in the biomass sector, especially those based on garbage and waste. This research aims to determine the value of moisture content, heating value, combustion rate, and electrical energy produced from bamboo twigs and coconut shell waste with different composition variation. The method used in this research is an experimental method in which a bomb calorimeter is used to determine the heating, and a biomass stove is used to determine the combustion rate. The research finding reveals that the best samples for utilizing bamboo and coconut shell waste in the production of bio-briquettes as an alternative energy source are the variety of 200 grams of shell charcoal and 10 grams sago adhesive (sample 9). It is the best sample due to it has moisture content value of 6.38%, heating value of 5663.9 cal/gram, combustion rate is 0.227 gram/minute, and the electrical energy generated by converting the heating value to kWh is 6.5857 kWh/gram. In reference to SNI 01-6235-2000, the moisture content should not be more than 8%, and the minimum heating value is 5000 cal/g.

Design expert based optimization of the pyrolysis process for the production of cattle dung bio-oil and properties characterization

This study aimed to optimize pyrolysis conditions to maximize bio-oil yield from cattle dung, a waste product of livestock practices. Pyrolysis of cattle dung was carried out in batch type reactor. The pyrolysis process was optimized using a central composite design in response surface methodology, with conversion parameters such as pyrolysis temperature, vapor cooling temperature, residence time, and gas flow rate taken into account. The cattle dung bio-oil was analyzed using gas chromatography/mass spectroscopy (GC/MS), an elemental analyzer, a pH probe, and a bomb calorimeter. Furthermore, the ASTM standard procedures were used to determine the bio-fuel characteristics. The optimized conditions were found to be a pyrolysis temperature of 402 °C, a vapor cooling temperature of 2.25 °C, a residence time of 30.72 min, and a gas flow rate of 1.81 l min−1, resulting in a maximum bio-oil yield of 18.9%. According to the findings, the yield of bio-oil was predominantly affected by pyrolysis temperature and vapor cooling temperature. Moreover, the bio-oil that was retrieved was discovered to be similar to conventional liquid fuels in numerous ways.

Comparative Analysis of the Quality and Electrical Energy of Wood Waste Briquettes with Natural (Starch) and Synthetic Adhesives (Synthetic Rubber Adhesive)

On average, small and medium-scale wood processing industries produced at least 2 to 4 cubic meters of wood a day, this production produced 0.25 to 2 m3 of wood waste a day. In fact, this waste can be used as a renewable energy source by processing it into briquettes. This research will produce wood waste briquettes using the pyrolysis method from two types of adhesive, namely starch and synthetic rubber adhesive with a composition ratio of 3:1. Apart from that, the resulting briquettes were tested using a bomb calorimeter to obtain the calorific value, water content, ash content, and volatile matter content, and then compared with the SNI 01-6235-2000 standard. The resulting briquettes were then calculated using mathematical calculations for the potential electrical energy they could generate. From laboratory tests, the calorific value, water content, ash content, and volatile matter content of natural adhesive briquettes were obtained at 5194.44 cal/g, 11.3%, 1.36%, and 40.8%, while synthetic adhesive briquettes respectively had values of 6369.46 cal/g, 4.33%, 2.74%, and 25.54%. From these results, synthetic adhesive briquettes had better calorific value, water content, and volatile matter content compared to natural adhesive briquettes. Apart from that, synthetic adhesive briquettes also had greater energy potential with an energy potential of 7,407 kWh/kg compared to briquettes with natural adhesives which only had a value of 6,041 kWh/kg. Thus it can be concluded that synthetic adhesive briquettes are better quality compared to natural adhesive briquettes because they can generate greater energy, and meet 3 of the 4 test parameters based on SNI while natural adhesive briquettes only meet 2 of the same 4 test parameters

Preparation, characterization, and combustion properties of NGO/GF/B composite system

Boron is a potential fuel for energetic materials due to its high volumetric and gravimetric energy density. However, its application has long been constrained by ignition difficulties and insufficient combustion. In this study, a mixture of NGO and GF was introduced as an additive to boron particles. We prepared NGO/GF-coated B complexes and performed several characterizations, showing that NGO combined with GF had a good coating effect on B. The combustion heat was measured by an oxygen bomb calorimeter, while the combustion mechanism was proposed. Its effect on the thermal decomposition behavior of AP was also analyzed. The results showed that the combustion efficiency of NGO/GF-modified B was significantly improved, which was 14.34% higher than that of pure B. This enhancement was attributed to the synergistic effect of NGO and GF, which promoted ignition and combustion by releasing heat, gases, and fluorocarbon radicals. In addition, both boron and NGO/GF-modified boron accelerated the decomposition of AP, especially, in the presence of NGO/GF, the decomposition temperature of AP was advanced by 73.2 °C compared to that in the presence of boron alone. These findings may provide valuable theoretical guidance for the design and potential application of NGO/GF modified boron in energetic materials.

Physical Properties of Biochar Produced from Pyrolysis of Arabica Coffee Pulp: The Effect of Pre-Washing Process

Coffee pulp is a potential source of biomass which abundantly available in coffee exporter countries such as Brazil, Colombia, Indonesia etc. It is necessary to develop technologies to convert coffee pulp into value-added products. This study aims to investigate the slow pyrolysis process of arabica coffee pulp in a pilot scale reactor and evaluate the properties of resulting biochar. Prior to pyrolysis experiment, some of coffee pulp were soaked in tap water for 20 h with a ratio of water to coffee pulps of 1:5. As comparison, another set of pyrolysis experiment was carried out without soaking and washing of feedstock. The pyrolysis process was carried out in a batch reactor at temperatures within the range of 400 to 420°C. During the run, the reaction temperature versus time was recorded and products yield were quantified. Characterization of biochar product was performed under proximate, bomb calorimeter and density analyses. The yield of biochar and pyrolytic oil, respectively were 33% and 36%. Biochar characterization results suggested a significant decrease in the ash content when washing pretreatment was applied. Increases in the calorific value and bulk density were also observed from pre-washed coffee pulp sample.

Pyrolysis of Euphorbia Rigida: A study on thermal characterizations, kinetics, thermodynamics via TG-FTIR analysis

Euphorbia Rigida (E. Rigida), a lignocellulosic biomass with low ash content, is a suitable feedstock for pyrolysis. This work investigated the physicochemical characteristics and thermokinetic analysis of E. Rigida pyrolysis by using isoconversional and master plots methods. Ultimate and proximate analyses and oxygen bomb calorimeter were used to determine the physicochemical parameters. The activation energies were calculated using model-free methods (KAS, Friedman and Starink) and were found as 184, 178 and 185 kJ/mol, respectively. Using Fraser-Suzuki deconvolution, pseudo-components were also calculated and the active pyrolysis region was divided into three zones. The master plots showed that reaction order mechanisms (Fn) were effective in Zone I, and diffusion mechanisms (Dn) were well matched in Zone II and Zone III. The thermodynamic parameters (ΔH, ΔG and ΔS) were calculated and according to these results, E. Rigida pyrolysis was an endothermic and non-spontaneous process.

DETERMINATION OF ENERGY CONTENT OF PLANT BIOMASS FOR DOMESTIC AND SMALL-SCALE INDUSTRIAL HEATING APPLICATIONS

Determination of the calorific values and elemental contents of plant biomass are important in considering their heat energy potential and environmental friendliness. It is also important in performance modelling calculations on thermal systems. This study measures the calorific values of twenty (20) biomass comprising herbaceous plants and agricultural waste with the aim of understanding their energy potential to be used as alternative fuels for small-scale industrial and domestic heating activities. The direct measurements of the calorific values were made using Bomb calorimeter (model 6100 series) and estimated from the ultimate analysis data of the samples. The relationships between the calorific value and the total carbon and hydrogen contents of samples were also investigated. The analysis results indicate that palm kernel shell and locust bean pod have the highest energy values of 41.1165 MJ/kg and 36.2230 MJ/kg respectively. Camel foot and soybean stalks give the lowest energy values of 6.0484 MJ/kg and 5.3353 MJ/kg respectively. The energy values of about 60% of biomass samples are in the range of 15-21 MJ/kg in agreement with the widely reported values in the literature. Further analysis indicates that the experimental measurements do not excellently agree with the values estimated using correlation equations and, in most cases, the experimental data is higher than that estimated using correlation equations. However, about 60% of the data points computed using the two equations agree closely. The study shows that the calorific values of all samples are strong function of their total carbon contents and have no...

Comparative study of different training algorithms in backpropagation neural networks for generalized biomass higher heating value prediction

When selecting biomass feedstock for sustainable heat and electricity generation, higher heating value (HHV) is an important consideration. Meanwhile, the laboratory procedures of using an adiabatic oxygen bomb calorimeter to determine the HHV are strenuous, costly, and time-consuming. As a result, researchers have turned to artificial intelligence techniques such as artificial neural networks (ANN) to predict HHV using data from proximate analysis. Notwithstanding, this approach has been hampered by different case-specific techniques and methodologies given the heterogeneous nature of biomass materials and intricate ANN structures. This study, therefore, examined and compared the efficacy of six training algorithms comprising thirteen distinct training functions of feedforward backpropagation neural networks to predict the HHV of a variety of biomass materials as a function of the proximate analysis. In creating the networks, the neurons of the hidden layer were iterated from 1 to 20 leading to 260 investigated scenarios. Compared to other training algorithms, the Bayesian Regularization and Levenberg-Marquardt with 15 and 12 hidden neurons respectively, demonstrated superior prediction performances based on the Nash-Sutcliff's efficiencies of 0.9044 and 0.8877, and mean squared errors of 0.002271 and 0.00267. It is envisaged that this study will create an insightful paradigm for a rapid selection of best-performing ANN algorithms for biomass HHV prediction.

Performance Analysis of Intelligent Computational Algorithms for Biomass Higher Heating Value Prediction

Higher heating value (HHV) is an essential parameter to consider when evaluating and choosing biomass substrates for combustion and power generation. Traditionally, HHV is determined in the laboratory using an adiabatic oxygen bomb calorimeter. Meanwhile, this approach is laborious and cost-intensive. Hence, it is essential to explore other viable options. In this study, two distinct artificial intelligence-based techniques, namely, a support vector machine (SVM) and an artificial neural network (ANN) were employed to develop proximate analysis-based biomass HHV prediction models. The input variables comprising ash, volatile matter, and fixed carbon were paired to form four separate inputs to the prediction models. The overall findings showed that both the ANN and the SVM tools can guarantee accurate prediction in all the input combinations. The optimal prediction performances were observed when fixed carbon and volatile matter were paired as the input combination. This combination showed that the ANN outperformed the SVM, having presented the least root mean squared error of 0.0008 and the highest correlation coefficient of 0.9274. This study, therefore, concluded that the ANN is more preferred compared to SVM for biomass HHV prediction based on the proximate analysis.

Enhanced ignition and combustion performance of boron-based energetic materials through surface modification and titanium dioxides coating

The present study focuses on the removal of ineffective hydroxyl surface (B–OH) of the shell of pristine boron (B) particles, followed by its modification using a low-cost, eco-friendly, and non-hazardous ethylene glycol (EG). Subsequently, very small-sized titanium dioxide (TiO2) particles are coated onto the boron surface by adding titanium tetraisopropoxide (TTIP) precursors at room temperature. Characterization techniques were employed to investigate the structure and morphology of these materials. FTIR, XPS, and TEM analysis reveal that EG effectively removes ineffective boron hydroxyl surfaces and modifies the surface through passivation by its surface functionalities. Furthermore, EG assists in the coating very small-sized TiO2 particles on the boron surface. Thermal stability tests show that the modified boron surface and TiO2-coated boron surface exhibit earlier oxidation of the core boron compared to pristine boron. This enhanced capability for earlier oxidation of core boron was further investigated in the shock tube and bomb calorimeter for measurement of ignition delay time and heat of combustion. The findings demonstrate that room temperature synthesized TiO2-coated B particles (ignition delay time of ∼181 μs and heat of combustion of ∼17.3 kJ/g) outperform pristine B particles (ignition delay time of ∼284 μs and heat of combustion of ∼13.2 kJ/g). This improvement is attributed to the removal of ineffective boron hydroxyl surfaces, surface modification, uniform coating with very small TiO2 particles, the catalytic effect of TiO2 on oxygen diffusion, and effective oxidation of core boron. This study suggests that efficient energetic material can be achieved at room temperature with no potential harm to the environment.